Naslov
Meta-Modeling Execution Times of RapidMiner operators

Autori
Piškorec Matija ; Bošnjak Matko ; Šmuc Tomislav

Vrsta, podvrsta i kategorija rada
Radovi u zbornicima skupova, cjeloviti rad (in extenso), znanstveni

Izvornik
Proceedings of the 3rd RapidMiner Community Meeting and Conference (RCOMM 2012) / Ficher, Simon ; Mierswa, Ingo - , 2012, 159-168

Skup
3rd RapidMiner Community Meeting and Conference (RCOMM 2012)

Mjesto i datum
Budimpešta, Mađarska, 28.08.2012. - 31.08.2012

Vrsta sudjelovanja
Predavanje

Vrsta recenzije
Međunarodna recenzija

Ključne riječi
meta-mining ; data mining ; execution time estimation ; RapidMiner extension

Sažetak
Knowing the execution time of a computational model, especially when dealing with large data, is crucial in deciding whether the solution of the problem is attainable in acceptable time. In the case of data mining processes, typically both the time needed for model learning and model application could be of importance. We developed a meta-mining framework for execution time estimation of data mining algorithm built in RapidMiner. Operator execution time estimation is treated as a machine learning problem for which prediction models are built using execution times obtained by running algorithms on a set of predetermined datasets. With appropriate refitting this experimental methodology is applicable to any data mining environment. We present overall framework with modelling results for a subset of RapidMiner operators, and compare non-parametric distance measures based predictions with polynomial function fitting. Finally, integration of these models in the form of standalone RapidMiner extension is demonstrated and issues related to reliability, scalability and applicability for the overall workflow execution time modelling are discussed.

Izvorni jezik
Engleski

Znanstvena područja
Računarstvo

POVEZANOST RADA